{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 测试测试"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1*1= 1 \n",
      "1*2= 2 2*2= 4 \n",
      "1*3= 3 2*3= 6 3*3= 9 \n",
      "1*4= 4 2*4= 8 3*4=12 4*4=16 \n",
      "1*5= 5 2*5=10 3*5=15 4*5=20 5*5=25 \n",
      "1*6= 6 2*6=12 3*6=18 4*6=24 5*6=30 6*6=36 \n",
      "1*7= 7 2*7=14 3*7=21 4*7=28 5*7=35 6*7=42 7*7=49 \n",
      "1*8= 8 2*8=16 3*8=24 4*8=32 5*8=40 6*8=48 7*8=56 8*8=64 \n",
      "1*9= 9 2*9=18 3*9=27 4*9=36 5*9=45 6*9=54 7*9=63 8*9=72 9*9=81 \n"
     ]
    }
   ],
   "source": [
    "for i in range(1,10):\n",
    "    for j in range(1,i+1):\n",
    "        print(\"{0}*{1}={2:2d}\".format(j,i,i*j),end=\" \")\n",
    "    print()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "你好"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "pytorch",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
